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Our Team is Kind of a Big Deal! UniFirst First Aid + Safety is seeking a reliable and hardworking Territory Manager to join our family. As a Territory Manager, you will be responsible for servicing and managing relationships with customers. When working with UniFirst First Aid + Safety we provide a variety of shifts. Our standard is a 5-day work week, enjoy two days off a week. We have an immediate opening and provide on the job training. Pay & Benefits: On the job training & great hourly pay + 401K with Company Match, Profit Sharing, Health Insurance, Employee Assistance Program, Life Insurance, Paid Time Off, Direct Payroll Deposit, Tuition Reimbursement, 30% Employee Discount, Employee Referral Bonuses. Compensation: from $41,600 annual salary, dependent on experience and skills plus a base commission structure plan! What’s in it for you? Training: Our Team Partners receive ongoing cross-training, exposing them to different department areas. Cross training enhances their performance and assists them with their career potential and advancement. Work Life Balance: We offer up to 40-hours a week! Career Growth: Some companies like to promote from within, we love to! Culture: Our family culture is what makes UniFirst First Aid + Safety an organization that stands out from the rest. Diversity: At UniFirst First Aid + Safety, you'll find an environment packed with different cultures, personalities, and backgrounds. We believe our diversity makes us who we are, and we strive every day to build a culture where everyone feels welcome. What you’ll be doing: • Provide consistent and timely service to customers in your territory., • Service 10-15 customers per day in a company vehicle., • Accommodate a customer’s needs with products that will help provide a safe, pleasant, and productive workplace., • Organize and implement a “work plan” for maximizing daily sales and decreasing mileage between calls., • Maintain an adequate supply of promotional materials, flyers, and business cards., • Maintain a call average that is consistent with current company objectives., • Maintain and turn in paperwork in a timely manner., • Mail or email work orders, call reports, and vehicle maintenance reports as required., • Keep handheld computer data updated and in compliance with company policy., • Keep abreast of all price changes and sell accordingly., • Maintain a consistent paper flow by avoiding errors on paperwork submitted., • Maintain adequate vehicle stock and rotate accordingly., • Adhere to the company vehicle maintenance schedule and policy., • Understand and comply with all company policies., • Have proper tools and supplies such as; anchors screws, screwdriver(s) Hammer and a charged drill on van in order to install equipment within a customer’s facility., • Maintain a clean company vehicle inside and out to promote a good company image., • Manage your geographical territory and notify management of any territory problems., • Promote growth by continuously making cold calls and developing new businesses., • Keep up to date about competitive companies, their products and prices, • Continuously gain knowledge of First Aid + Safety products., • Share pertinent information about pricing and products with other employees during sales meetings. Qualifications What we’re looking for: • Must be at least 21 years or older., • Valid non-commercial driver’s license and safe driving record is required., • 1-3 years of B2B sales experience or equivalent is preferred., • Must be knowledgeable in basic computer and tablet skills and be proficient with Microsoft Word and Excel., • Ability to lift and carry up to 40 lbs. About UniFirst First Aid + Safety UniFirst First Aid + Safety is a division of the UniFirst Corporation. UniFirst First Aid + Safety is one of the largest providers of First Aid, AEDs, Compliance Training, Safety and PPE products in the United States. Businesses such as manufacturing, office buildings, retail, construction, logistics, automotive, and government agencies, are just a few examples of our current customer base. We are part of a $70 million division within a $1.8 billion company. UniFirst is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws. If you need accommodation for any part of the application process because of a medical condition or disability, please send an e-mail to ___ or call ___ to let us know the nature of your request. UniFirst Recruiters and/or representatives will not ask job seekers to provide personal financial information when submitting a job application. Please be vigilant as such requests for information may be fraudulent.

Our Team is Kind of a Big Deal! UniFirst is seeking a reliable and hardworking Fleet Supervisor to join our UniFirst community. As a Supervisor in the Maintenance Department, you will be ensuring our fleet vehicles are properly functioning and regularly maintained as well as managing and mentoring our Fleet Technicians. At UniFirst we have a standard Monday - Friday work week with periodic night and weekend overtime. We have an immediate opening and provide on the job training. Pay & Benefits: On the job training & great hourly pay + 401K with Company Match, Profit Sharing, Health Insurance, Employee Assistance Program, Life Insurance, Paid Time Off, Direct Payroll Deposit, Tuition Reimbursement, 30% Employee Discount, Employee Referral Bonuses. What’s in it for you? Training: Our Team Partners receive quality skills training designed to enhance their performance and assist them with their career potential and advancement Career Growth: You may quickly find yourself on the fast-track to success. We are a rapidly growing company offering significant avenues for personal development and growth. Culture: Our culture is what makes UniFirst an organization that stands out from the rest. Diversity: At UniFirst, you'll find an environment packed with different cultures, personalities, and backgrounds. We believe our diversity makes us who we are, and we strive every day to build a culture where everyone feels welcome. What you’ll be doing: • Manage overall upkeep and maintenance of fleet vehicles., • Verify that the appearance of fleet vehicles meet UniFirst standards., • Ensure vehicle compliance and safety requirements are met., • Implement preventative maintenance programs for vehicles and equipment, and schedule predictive & preventative maintenance., • Mentor, manage, and motivate performance of Fleet Technicians., • Provide ongoing learning and development opportunities for all Team Partners., • Produce reports related to work performance and departmental budget., • Develop and maintain relationships with vendors to ensure best pricing for vehicle parts., • Plow and salt location parking lot as needed., • Utilize a Computerized Maintenance Management System. What we’re looking for: • High school diploma or GED required., • Must be 21 years of age or older., • 5 years of equivalent experience required., • Valid driver's license and a safe driving record are required. A CDL license is preferred., • Must meet DOT requirements., • Strong leadership and communication skills; ability to train potential techs., • Must have experience in the use of diagnostic software and fleet management systems., • Ability to work overtime as needed is required. About UniFirst The fabric of UniFirst is woven from its very unique family culture where our Team Partners enjoy a small company feel while taking advantage of the resources and stability that come with being a 2 billion-dollar organization. UniFirst is an international leader in the $18 billion-dollar garment services industry. We currently employ over 14,000 team partners who serve 300,000 business customer locations throughout the U.S., Canada, and Europe. We were included in the top 10 of Selling Power magazine’s “Best Companies to Sell For” list and recognized on Forbes magazine’s “Platinum 400 – Best Big Companies” list. As an 80-year old company focused on annual growth, there’s never been a better time to join our team. UniFirst is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws UniFirst is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws. If you need accommodation for any part of the application process because of a medical condition or disability, please send an e-mail to ___ or call ___ to let us know the nature of your request. UniFirst Recruiters and/or representatives will not ask job seekers to provide personal financial information when submitting a job application. Please be vigilant as such requests for information may be fraudulent.

Earn big and work on your own time and terms as a Grubhub delivery partner! Grubhub is looking for drivers and bikers like you to hit the road quick and start delivering from restaurants, liquor stores, convenience stores, and more. Looking for a flexible way to earn extra cash? Grubhub is the gig for you. \n\n Why deliver with Grubhub? \n• Earn competitive pay and keep 100% of your tips from completed deliveries \n• Create your own flexible schedule to work when you want \n• It's easy to get started, with no resume, interview, or experience required \n• Get paid instantly with Instant Cashout \n\n All you need to get started is: \n• A car (or scooter/bike in select areas) \n• Valid driver's license and auto insurance for drivers \n• Valid driver's license or state ID for bikers \n• Smartphone (with a data plan) \n\n Ready to hit the road? Download the app to get started! \n\n All drivers must also be at least 18 years of age (21+ in Las Vegas). Grubhub delivery partners are independent contractors, not employees of Grubhub.

Earn big and work on your own time and terms as a Grubhub delivery partner! Grubhub is looking for drivers and bikers like you to hit the road quick and start delivering from restaurants, liquor stores, convenience stores, and more. Looking for a flexible way to earn extra cash? Grubhub is the gig for you. \n\n Why deliver with Grubhub? \n• Earn competitive pay and keep 100% of your tips from completed deliveries \n• Create your own flexible schedule to work when you want \n• It's easy to get started, with no resume, interview, or experience required \n• Get paid instantly with Instant Cashout \n\n All you need to get started is: \n• A car (or scooter/bike in select areas) \n• Valid driver's license and auto insurance for drivers \n• Valid driver's license or state ID for bikers \n• Smartphone (with a data plan) \n\n Ready to hit the road? Download the app to get started! \n\n All drivers must also be at least 18 years of age (21+ in Las Vegas). Grubhub delivery partners are independent contractors, not employees of Grubhub.

Earn big and work on your own time and terms as a Grubhub delivery partner! Grubhub is looking for drivers and bikers like you to hit the road quick and start delivering from restaurants, liquor stores, convenience stores, and more. Looking for a flexible way to earn extra cash? Grubhub is the gig for you. \n\n Why deliver with Grubhub? \n• Earn competitive pay and keep 100% of your tips from completed deliveries \n• Create your own flexible schedule to work when you want \n• It's easy to get started, with no resume, interview, or experience required \n• Get paid instantly with Instant Cashout \n\n All you need to get started is: \n• A car (or scooter/bike in select areas) \n• Valid driver's license and auto insurance for drivers \n• Valid driver's license or state ID for bikers \n• Smartphone (with a data plan) \n\n Ready to hit the road? Download the app to get started! \n\n All drivers must also be at least 18 years of age (21+ in Las Vegas). Grubhub delivery partners are independent contractors, not employees of Grubhub.

Earn big and work on your own time and terms as a Grubhub delivery partner! Grubhub is looking for drivers and bikers like you to hit the road quick and start delivering from restaurants, liquor stores, convenience stores, and more. Looking for a flexible way to earn extra cash? Grubhub is the gig for you. \n\n Why deliver with Grubhub? \n• Earn competitive pay and keep 100% of your tips from completed deliveries \n• Create your own flexible schedule to work when you want \n• It's easy to get started, with no resume, interview, or experience required \n• Get paid instantly with Instant Cashout \n\n All you need to get started is: \n• A car (or scooter/bike in select areas) \n• Valid driver's license and auto insurance for drivers \n• Valid driver's license or state ID for bikers \n• Smartphone (with a data plan) \n\n Ready to hit the road? Download the app to get started! \n\n All drivers must also be at least 18 years of age (21+ in Las Vegas). Grubhub delivery partners are independent contractors, not employees of Grubhub.

Senior Lead AI Engineer (Remote-Eligible) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Earn big and work on your own time and terms as a Grubhub delivery partner! Grubhub is looking for drivers and bikers like you to hit the road quick and start delivering from restaurants, liquor stores, convenience stores, and more. Looking for a flexible way to earn extra cash? Grubhub is the gig for you. \n\n Why deliver with Grubhub? \n• Earn competitive pay and keep 100% of your tips from completed deliveries \n• Create your own flexible schedule to work when you want \n• It's easy to get started, with no resume, interview, or experience required \n• Get paid instantly with Instant Cashout \n\n All you need to get started is: \n• A car (or scooter/bike in select areas) \n• Valid driver's license and auto insurance for drivers \n• Valid driver's license or state ID for bikers \n• Smartphone (with a data plan) \n\n Ready to hit the road? Download the app to get started! \n\n All drivers must also be at least 18 years of age (21+ in Las Vegas). Grubhub delivery partners are independent contractors, not employees of Grubhub.

Contracting CDL-A Truck Drivers\n\n • RUN YOUR BUSINESS, RUN UP YOUR PAY - Lease drivers gross $4,000-$5,000/week\n, • EARN MORE WITH EVERY LOAD - Up to 75% of linehaul + 100% FSC\n, • Big earnings, week after week. Lease drivers gross $4,000-$5,000 per week and average $1,800 net weekly, with strong, steady freight that keeps your business profitable and predictable.\n, • More control, more opportunity. Earn 68-75% of linehaul (depending on tractor and trailer) and 100% fuel surcharge, with no forced dispatch, giving you the freedom to take the loads that fit your goals.\n, • Home time that fits your business rhythm. Get home on weekends, so you can balance strong earning power with meaningful downtime to reset and recharge.\n, • A driver-friendly setup that keeps you moving. Run steel coil, pipe, and building material loads, work with an assigned dispatcher, and access 24-hour support whenever you need it.\n, • Newer trucks, built for contractors. Operate 2020-2023 Freightliner Cascadias + Internationals equipped with contractor-preferred specs.\n\n\nLease Terms\n\n, • Start easy with no credit check + $0 down. Walk in with zero upfront cost and build your business without the financial barriers and credit requirements of traditional ownership.\n, • Simple weekly payments that keep you profitable. Truck payments range from $500-$650/week depending on model, with predictable costs that make budgeting and planning straightforward.\n, • Strong discounts + settlement perks. Enjoy fuel discounts, EZ Pass, direct deposit settlements, and a program built to maximize cash flow and reduce overhead.\n, • End-of-term flexibility. A balloon payment lets you finish the lease your way-giving you options for ownership without locking you into long-term risk.\n\n\nDriver Perks\n\n, • $5,000 sign-on bonus\n, • $3,000 referral bonus\n, • Valid Class A CDL\n

Earn big and work on your own time and terms as a Grubhub delivery partner! Grubhub is looking for drivers and bikers like you to hit the road quick and start delivering from restaurants, liquor stores, convenience stores, and more. Looking for a flexible way to earn extra cash? Grubhub is the gig for you. \n\n Why deliver with Grubhub? \n• Earn competitive pay and keep 100% of your tips from completed deliveries \n• Create your own flexible schedule to work when you want \n• It's easy to get started, with no resume, interview, or experience required \n• Get paid instantly with Instant Cashout \n\n All you need to get started is: \n• A car (or scooter/bike in select areas) \n• Valid driver's license and auto insurance for drivers \n• Valid driver's license or state ID for bikers \n• Smartphone (with a data plan) \n\n Ready to hit the road? Download the app to get started! \n\n All drivers must also be at least 18 years of age (21+ in Las Vegas). Grubhub delivery partners are independent contractors, not employees of Grubhub.

Senior Lead AI Engineer (FM Hosting, LLM Inference) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher II (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Hiring CDL-A Truck Drivers • EARN "THE BEST MONEY IN TRUCKING" - Start at 70CPM; min. $1,610/wk guaranteed, • RUN HARD. LIVE HARDER. - Extended miles, extended home time, premium pay It's pretty simple-we're a no-nonsense, no-bull trucking company run by grown-ups. We pay what we say and do everything we can to keep top drivers happy-at home and on the road. Apply today for more details. Road Warrior OTR Job Info • Not for every driver... Only the best. Road Warriors take on the miles others can't. Run long miles, earn big payoffs, and enjoy real rest (up to 20 days) when you're home., • Earn up to $2,000/week on top weeks. With industry-leading base pay (70CPM) and additional accessory pay and bonus incentives, Road Warriors make THE best money in trucking., • $1,610 weekly minimum guaranteed pay. We have skin in the game to keep you running. If you're giving us time, you're getting paid., • Drive reliable, modern equipment: Freightliner Cascadia refrigerated trailers; tractors with APUs, fridges, inverters and more., • $1,000 sign-on bonus paid with first check, • Competitive insurance benefits - medical, dental, vision, life, • Drop pay, detention pay, layover pay, • Clean inspection, safety, and referral bonuses Driver Requirements • Current Class A CDL

Sr Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s Degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * 3+ years of people management experience * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s Degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * 3+ years of people management experience * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

LINE RUN BUS DRIVERS Full Time Paramus, NJ Compensation: $20.00 / hr training, $22.40 / hr starting, $26.93 / hr maximum We are hiring Full Time CDL holders with passenger and air brake endorsements to join our growing team of Bus Drivers! Looking for a new and exciting career and the opportunity to meet people from all walks of life? Coach USA is actively hiring full time bus drivers to join our growing team at our Paramus, NJ location. About Us: As a transportation company, we recognize our job is all about the journey. We enjoy being able to participate in the trip with our passengers especially since our drivers are essential to our exceptional reputation and success. Whether it’s the individual passenger going to work or a group of passengers going on an adventure of a lifetime, we want drivers who will play a significant role in people’s lives. What we offer: • Competitive Wages – Up to $26.93 per hour, • Paid training while completing the Coach USA training - program., • Insurance; health, dental, vision, • Retirement Plan, • Paid Holidays & Personal Time Off (after 3 months) Qualifications: • Have a CDL with passenger and air brake endorsements – no permits, • 21 year or older, • High school diploma/GED preferred, • No history of DUI/Impaired Driving Violations in the last 7 years, • Pass Pre-employment essential function test, • Pass Pre-employment drug test, • Meet DOT physical qualifications, • Be willing to work varied schedules, including weekends, Saturday and Sunday Coach USA, would love to discuss your qualifications for this position. To learn more about your next big career change! APPLY NOW! Coach USA is an Equal Employment Opportunity employer. In compliance with Federal and State equal employment opportunity laws, qualified applicants are considered for all positions without regard to race, color, religion, national origin, sex (including gender identity, sexual orientation, and pregnancy), age, genetic information, disability, veteran status, or other protected class.

BUS DRIVERS Full-time Location: Paramus, NJ Compensation: $20.00 per hour while undergoing training. $25.00 per hour upon successful completion of training. Join Our Team! Looking for a new and exciting career where every day brings something different? Coach USA is hiring Full-Time CDL Drivers (with Passenger and Air Brake endorsements) to operate our Newark Airport / Port Authority route. This is a great opportunity to meet people from all walks of life while representing a company with a strong commitment to service, safety, and professionalism. About Us At Coach USA, transportation is more than getting from one place to another: it’s about the journey. Our drivers play a vital role in creating memorable and positive travel experiences. Whether it’s helping an individual commuter get to work or transporting a group headed on an adventure, you’ll be part of moments that matter. What We Offer • Paid Training during the Coach USA training program, • Competitive Wages, • No-Cost Health Insurance for active employees, • 401(k) with Company Match, • Paid Holidays and Paid Employee Birthday, • 7 Days PTO after successful completion of the 60-day probationary period, • Vacation Accrual: 1 week during the first year, • Company-Sponsored Life & AD&D Insurance ($100,000), • Company-Sponsored Long-Term Disability, • Employee Assistance Program (EAP), • Uniform Allowance, • Employee Discounts through LifeMart and Tickets at Work (travel, hotels, car rentals, theme parks, electronics, childcare, and more!), • Valid CDL Class A or B with Passenger and Air Brake endorsements (no permits), • 21 years of age or older, • High school diploma/GED preferred, • No DUI or impaired-driving violations in the last 7 years, • Clean MVR (no more than 1.5 points in the last 3 years), • Ability to pass the pre-employment essential function test, • Pass pre-employment drug test, • Meet DOT physical qualifications Coach USA is an Equal Employment Opportunity employer. In compliance with Federal and State equal employment opportunity laws, qualified applicants are considered for all positions without regard to race, color, religion, national origin, sex (including gender identity, sexual orientation, and pregnancy), age, genetic information, disability, veteran status, or other protected class. © "Driver", "CDL", "Luxury", "Motorcoach", "Motor Coach Operator", "Charter", "Bus Driver", 'Motor Coach Bus Operator", "Shuttle Driver", "School Bus Driver", "Transit Driver" ©

CHARTER OPERATORS Full-Time Location: Paramus, NJ Compensation: Up to $350.00 Per day for single day and away charters Coach USA has a new and exciting career opportunity for full time Charter Bus Drivers in our Paramus, NJ location. Rockland Coaches, Inc., a Coach USA company is actively hiring Full time Charter bus drivers to join our growing team! About Us: As a transportation company, we recognize our job is all about the journey. We enjoy being able to participate in the trip with our passengers especially since our drivers are essential to our exceptional reputation and success. Whether it’s the individual passenger going to work or a group of passengers going on an adventure of a lifetime, we want drivers who will play a significant role in people’s lives. • Pickup and drop off clients at their designated location(s)., • Occasional long-distance driving and overnight stays., • Occasionally help with luggage, if asked., • Competitive Wages – up to $350.00 per day, • Paid training while completing the Coach USA training - program., • Daily and away assignments available, • Insurance; health, dental, vision, • Retirement Plan, • Have a CDL with passenger and air brake endorsements., • 21 year or older., • High school diploma/GED preferred., • No history of DUI/Impaired Driving Violations in the last 7 years., • Pass Pre-employment essential function test., • Pass Pre-employment drug test., • Meet DOT physical qualifications. Coach USA is an Equal Employment Opportunity employer. In compliance with Federal and State equal employment opportunity laws, qualified applicants are considered for all positions without regard to race, color, religion, national origin, sex (including gender identity, sexual orientation, and pregnancy), age, genetic information, disability, veteran status, or other protected class. © "Driver", "CDL", "Luxury", "Motorcoach", "Motor Coach Operator", "Charter", "Bus Driver", 'Motor Coach Bus Operator", "Shuttle Driver", "School Bus Driver", "Transit Driver"

Sr. Lead AI Engineer (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Lead AI Engineer (MLX) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (GenAI Platform) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior AI Engineer (Gen AI Platform Services, Agentic Systems) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $161,800 - $184,600 for Senior AI Engineer McLean, VA: $161,800 - $184,600 for Senior AI Engineer New York, NY: $176,500 - $201,400 for Senior AI Engineer San Francisco, CA: $176,500 - $201,400 for Senior AI Engineer San Jose, CA: $176,500 - $201,400 for Senior AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description About the Role: As an HVAC Technician - Service, you will be responsible for installation, maintenance, and repair residential HVAC systems. You will also be responsible for diagnosing and troubleshooting systems. Why You’ll Want to Work Here: • Core values that we live every day – not just words on a page: We Win Together, Today Not Tomorrow, Performance Not Politics, • Performance pay directly tied to results – You deliver for us, we deliver for you, • Benefits you will use – Full medical, dental, and vision packages including fully employer paid options, • Secure your financial future – 401(k) with company match, • We invest in your future – ongoing training that directly results into bigger career opportunities combined with continuous education stipends, • Perform installation, maintenance, and repair of residential HVAC systems, including heating, cooling, and ventilation equipment., • Diagnose and troubleshoot HVAC system issues to identify the root cause of malfunctions and recommend effective solutions., • Conduct regular inspections and preventative maintenance to ensure optimal system performance and identify potential problems after they escalate., • Install, repair, or replace components, such as compressors, motors, fans, thermostats, filters, and ductwork., • Collaborate with team members to coordinate work schedules, prioritize service calls, and efficiently complete assignments., • Communicate with customers in a professional and courteous manner, addressing their concerns, explaining repair options, and providing recommendations for system improvements., • Accurately document service activities, including equipment status, repairs performed, parts used, and time spent on each job., • High school diploma or equivalent., • Proven experience as a Residential Service HVAC Technician or similar role., • Valid HVAC technician license/certification., • Strong technical skills and proficiency in diagnosing and repairing residential HVAC systems., • Solid knowledge of HVAC codes, regulations, and safety standards., • Excellent problem-solving and troubleshooting abilities., • Exceptional customer service and communication skills., • Ability to work independently and efficiently manage time and workload., • Physical stamina and the ability to work in various weather conditions and confined spaces., • Customer service focus and mindset, putting our employees and Partners first, with excellent ability to communicate and develop relationships., • Exceptional problem-solving and conflict resolution abilities to improve things both big and small., • Highly organized, ability to act quickly while still having attention to detail., • Hold yourself to a higher standard and exhibit a high level of integrity. About C&C Air Conditioning, Heating, Plumbing & Electric: Founded in 1965, C&C Air Conditioning, Heating, Plumbing & Electric is a family-owned and operated company proudly serving New Jersey for over five decades. With deep roots in Monmouth County, we’ve grown into one of the region’s most trusted names in residential and commercial HVAC, plumbing, and electrical services. Now in its third generation of leadership, C&C continues to deliver exceptional service, quality workmanship, and a customer-first approach. Our commitment to excellence has earned us repeated recognition from industry leaders like Lennox, as well as long-standing partnerships with respected brands like Costco. At C&C, we treat every customer like family—and we bring that same energy to our team. If you’re looking to grow your career with a company built on tradition, innovation, and integrity, we’d love to meet you. C&C Air Conditioning, Heating, Plumbing & Electric is an equal opportunity employer. We consider all applicants for employment regardless of race, color, religion, sex, gender identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, sexual orientation, genetic information, or any other characteristic protected by state or federal law.

Job Description Efficient Air Service in Riverdale, NJ is searching for a full‑time HVAC Apprentice who's ready to learn, ready to work, and ready to grow. If you're motivated, eager to build a future, and excited to be part of a fast‑paced, supportive HVAC team, keep reading - this opportunity could be the start of something big. This entry-level role offers $18–$25 an hour based on your experience and skill level. We also provide a full suite of benefits designed to support your life and your career: • Health & vision insurance, • 401k with company match, • PTO, • Company vehicle, • Uniforms, • Tool allowance, • Year‑round work, • On‑the‑job training WANT TO KNOW MORE ABOUT OUR TEAM? Efficient Air Service, a family-owned business established in 2005 by Albert Balonze, is built on a foundation of excellence, trust, and a commitment to outstanding service. From day one, we've taken pride in delivering honest, high-quality work and have earned the loyalty of repeat customers through integrity and reliability. Our highly trained staff bring a confident, can-do attitude to every job, ensuring 100% satisfaction with each service we provide. Whether in the field or in the office, we foster a supportive, fast-paced environment where teamwork and positivity thrive. Our employees are at the heart of our company, and we celebrate their individual and collective achievements as the driving force behind our success. As we grow, we remain deeply committed to our core values- upholding excellence in everything we do, maintaining a positive attitude, delivering exceptional service, and building trust with both our employees and customers. These principles continue to guide us, helping us preserve the personal touch of a small business while expanding our reach and impact. DO YOU MEET THESE QUALIFICATIONS? • Trade school completion OR 2 years of related skilled trade experience (required), • Valid NJ driver's license, • A positive attitude, • Career‑minded ambition WHAT WILL YOU DO AS AN HVAC APPRENTICE? As an Apprentice HVAC Technician, you'll work alongside experienced techs installing replacement systems for our clients. You'll: • Assist with installation tasks, • Learn every aspect of the trade, • Prioritize safety, • Represent our company through quality workmanship WHEN WILL YOU WORK? • Full-time, • Monday–Friday, • Opportunities for overtime READY TO APPLY AND ADVANCE YOUR CAREER? If you're excited to join our team as an Apprentice HVAC Technician, apply today using our quick, mobile‑friendly initial application.

Job Description HVAC Service Technician You’re the best and you want to join a team that appreciates you, where you can create your own opportunities. Who We Are We keep on growing because we only hire the best, and our customers love us for it. We’ve been at this a long time here in Staten Island. You’ve probably seen our trucks and our ads. What you don’t know is what it’s like to be a part of a team like this. How much you feel appreciated when you don’t cut corners. How much we inspire ongoing training and education. How it feels to have customers rave about you and demand that you’re the only technician that works in their home. How much you can earn when you truly are the best. People often come to us looking for a job. They stay with us because they find a fulfilling career, room to grow, and opportunities to excel. What We Do We are a team of home service experts who go the extra mile to ensure peak performance for your home’s plumbing, heating, and air conditioning systems. What We Offer • Our top performers are among the highest-paid technicians in Staten Island. You’ll have unlimited earning potential. Starting at $35-40/hr + commissions., • Company supplied, take it home at night, new and safe, super-cool company truck., • Medical Insurance -- we pay 100% for you and your family's insurance premiums for health, dental, vision, life insurance, short-term and long-term disability., • New technology, including iPhone, iPad & access to integrated software., • State-of-the-art tools, parts and supplies., • 401k Plan with a company match. You will diagnose and repair heating and cooling systems and lead customers to informed and confident buying decisions by providing an extraordinary customer experience. Key Sub Tasks • Maintain communication with dispatch, your manager, parts, and installation teams., • Keep your company truck clean, inside and out., • Keep your truck inventory up to date., • Properly complete paperwork., • Join the on-call rotation., • Maintain a clean and professional appearance., • Have and maintain a clean driving record., • Participate in training allowing you to grow and develop as a professional. If you can achieve the above and you find it fun and challenging - you have just the right amount of skill and experience. If you want to be part of something bigger than just a job – make this career move and find exactly what you’re looking for. Apply today! Equal Opportunity Employer Powered by JazzHR oQTheGyPdv

Position Description Ryder is hiring a Class A CDL Truck Driver in the Newark, NJ — offering weekly pay, excellent benefits, and a driving career you can feel good about. See and Hear from a Ryder Employee who Drives for Us Here: You might be wondering what your paycheck will look like. $1700 or more per week - And it gets better • Driver Positions Pay Weekly, • Home at least every other weekend., • Must be able and willing to drive into Canada, • Solo Miles Pay: $0.59 per Mile with 2000 - 2500 Miles per Week, • Van Stops Pay: $16.37 per Stop Plus $107.56 per Dry Van unload., • Average 8-10 stops per week, • Rolling stop pay $28.20, • Safety Bonus: Pays You $250 Four Times A Year, Every Quarter, • Loyalty Bonus: Pays you $2000 at 6 months and $2000 at 1 year Spots are filling fast — click apply now to secure your spot. Questions? Call Crystal or Text “Newark” to 904-541-8608 to speak with your recruiter today. We know choosing a driving career is a big decision. That’s why we’re upfront about pay, routes, and schedules — so you can feel confident joining the Ryder team. • Deliver SOLO To: From North Dakota to Texas and all states east as well as Canada., • Tractor Type: Sleepers with APUs, • Trailer Type: Dry Van and Conestoga Experience Preferred, • Companion Policy: Bring a person and/or pet on the road with you!, • Load Securement: Strapping, • Freight: Touch - Hand Unloading is Required, • Freight Type: Commercial and Residential Garage Doors Our Drivers tell us Carrier Transparency is top priority. Don’t spend time applying for jobs with ‘Average Pay’ or confusing pay structures. We know you’re essential to keep our economy afloat. Your trust, safety and security is our top priority. You will work with the Safest and most Reliable Fleet in the Industry. You Deliver for us so we make sure to Deliver for you! All the benefits you expect — without the wait. • Medical, Dental & Vision after 30 days, • 80 hours PTO your first year, starting Day 1(use it or get paid for it), • Uniforms, cell phone & boot allowance provided, • Drivers are the Captain — you make safety decisions, and your job is protected, • 401(k) rollover available now + company match at 1 year, • 12 weeks paid maternity leave(subject to specific eligibility criteria, including work tenure) Thinking about becoming a Company Driver? Ryder will purchase your truck and support you every step of the way, so you can focus on driving—not the details. At Ryder, you’re joining more than a company — you’re joining a community of proud women and men in logistics, including Military Reservists and Veterans. Know great drivers — get paid for it. Ryder pays unlimited referral bonuses for hired drivers. EEO/AA/Female/Minority/Disabled/Veteran Requirements • Minimum 21 years of age, • Pass a Ryder Drug Test, • Pass a Ryder Background and Motor vehicle check including Drug and alcohol verification from previous employers for the last 3 years, • Pass a DOT physical, • Pass a Ryder road test, • Provide appropriate CDL and endorsements for the position, • Must have Class A verifiable experience in a tractor trailer or comparable vehicle:, • 9 months experience within the past 3 years, OR, • 2 years’ experience within the last 5 years, OR, • 5 years’ experience within the last 10 years, • Ability to follow written and/or oral instructions Responsibilities • Ensuring compliance with applicable federal and/or state laws, regulations, and/or agency rules, standards and guidelines, • Detecting and eliminating or minimizing safety hazards Maintaining accurate records and logs, • Loading/Unloading freight or assisting in the loading/unloading of freight if required by customer Posted Date 9 hours ago (3/27/2026 10:39 AM) Requisition ID 2026-198588 Primary State/Province NJ Primary City NEWARK Location (Posting Location) : Postal Code 07105 Category Drivers Regional/OTR Solo Employment Type Regular-Full time Travel Requirements Driver Position Code 1000999

Lead AI Engineer (GenAI Platform Services) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (FM Hosting) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Transit Bus Driver\nFull-time\nParamus, NJ\nCompensation: Up to $31.80/hr. with annual increases\n Join Our Fleet of Everyday Heroes. Now hiring Bus Drivers at our Paramus, New Jersey location. Coach USA is hiring Bus Drivers for the HudsonLink service! This service currently provides more than 500,000 passenger rides per year between Rockland County and Westchester County. Your Role: \n\n • Safety First: Ensure the safety and comfort of all passengers, adhering to all traffic and safety regulations.\n, • Journey Management: Navigate a variety of routes, with professionalism and punctuality.\n, • Customer Service Excellence: Provide exceptional service, creating a welcoming and friendly atmosphere for all passengers.\n, • Vehicle Care: Conduct pre- and post-trip inspections, maintaining the cleanliness and operational efficiency of your vehicle.\n, • Effective Communication: Communicate clearly and effectively with passengers, dispatch, and management, ensuring a smooth and enjoyable travel experience.\n\nWhy Join Us: Your well-being is a top priority; We've got you covered. \n\n • Paid training at starting pay rate\n, • Overtime opportunities\n, • Generous Sign on Bonus (Limited time only)!\n, • Performance bonus opportunities increased yearly\n, • Overtime opportunities\n, • Excellent health care package with tax efficient HSA and annual company contributions\n, • 401(k) with Company Match\n, • Paid Holidays\n, • PTO with limited waiting period days\n, • Paid vacation\n, • Company-Sponsored Life Insurance ($50,000)\n, • Employee Assistance Program (EAP)\n, • Uniform Allowance\n, • Employee Discounts through LifeMart and Tickets at Work (travel, hotels, car rentals, theme parks, electronics, childcare, and more!)\n \n\n • Class A or B CDL with passenger and air brake endorsements\n, • 21 years or older\n, • High school diploma/GED preferred\n, • Pass Pre-employment drug test\n, • Pass Pre-employment essential function test\n, • Meet DOT physical qualifications\n\n To learn more about your next big career change! APPLY NOW at: Coach USA is an Equal Employment Opportunity employer. In compliance with Federal and State equal employment opportunity laws, qualified applicants are considered for all positions without regard to race, color, religion, national origin, sex (including gender identity, sexual orientation, and pregnancy), age, genetic information, disability, veteran status, or other protected class. © "Driver", "CDL", "Luxury", "Motorcoach", "Motor Coach Operator", "Charter", "Bus Driver", 'Motor Coach Bus Operator", "Shuttle Driver", "School Bus Driver", "Transit Driver" ©

Western Express is Now Seeking Lease Purchase Drivers!Earn Up to $200,000 per Year!No Money Down, No Interest, No Balloon Payment, No Credit Check HAVE YOUR CDL-A? APPLY NOW or SPEAK WITH A SEATING SPECIALIST TODAY! We Offer: • Real rates - Earn $1.25 - $2.00 per mile + industry-leading fuel surcharge!, • Go big - Earn up to $200,000 per year!, • Go home – No forced dispatch; Choose your home time!, • Great selection of new and used trucks, • Low weekly payments (between $575 - $745/Week!), • No money down, no interest, no balloon payment, no credit check!, • Ownership in 3-5 years (depending on year/make/model selected), • Business tools and guidance to help you manage and grow your business, • Access to some of the most inexpensive insurance in the industry, • Big discounts on fuel and tires, • BestPass to cover all toll expenses, • 24/7 operations and maintenance support, • With our new LP Pro Mobile app, you can easily choose loads, communicate with Ops, view documents and more! Have you ever dreamed of owning your truck and being your own boss? Come experience the many reasons why Western Express is the best place to live out those dreams! This program was built for you to succeed, become an owner operator, and own your future. Western Express is now offering a wide variety of new and used trucks, so you can find the one that is right to call your own. With no money down, no credit check and no balloon payment, this walk-away lease is simply the best ownership program in the industry. Requirements: • Valid CDL-A (No Experience Required), • 21 Years of Age or Older INTERESTED IN BEING A DRIVER TRAINER? Drive with Western for 3 months or more and you can qualify as a driver trainer! Call today for more details on how you can add up to 50% of your revenue! Have you been out of driving for 3 years or more? Are you a recent CDL-A graduate? Call us for information about our Refresher Program today! HAVE YOUR CDL-A? APPLY NOW or SPEAK WITH A SEATING SPECIALIST TODAY! Western Express is a non-discriminatory and equal opportunity employer. Regardless of background, we'd like to speak with you to see if you qualify. By submitting my information, I consent to receive calls, text messages, and emails from the company, including information about my application, eligibility, opportunities, and other advertising and telemarketing messages. I agree that calls may be made using an automatic telephone dialing system and/or an artificial or prerecorded voice and that messages and emails may be sent using automatic messaging systems. I understand that I may opt-out at any time by pressing "0" during the calls, by texting "STOP" in response to the text messages, or by clicking the provided “unsubscribe” link in the emails. I additionally agree that Western Express, Inc.'s service provider receives in real-time and logs your text messages and emails with Western Express, Inc.

Job Description & Requirements Interim Nurse Manager Operating Room StartDate: ASAP Pay Rate: $160000.00 - $165000.00 Interim Nurse Manager Operating Room Needed in Manhasset, NY! ? The Position • An Interim Nurse Manager Operating Room is needed to oversee surgical services and ensure high-quality patient care in a hospital care setting., • Reports to the Director of Nursing., • Key responsibilities include managing abdominal transplant operations, staff recruitment and retention, and the delivery of patient-centered care., • The ideal candidate will have extensive OR leadership experience, particularly with abdominal transplant procedures, in a high-acuity environment. Must be highly organized, patient-focused, and able to adapt quickly to changing needs. Excellent communication skills will be critical., • BSN required; Master's degree preferred., • Active New York State RN license., • Abdominal transplant experience is required., • Located on Long Island's North Shore, Manhasset offers easy access to New York City while maintaining a suburban charm., • Enjoy upscale shopping at the Americana Manhasset, renowned for luxury retail and fine dining., • Outdoor enthusiasts will appreciate nearby beaches, nature preserves, and scenic parks like the Sands Point Preserve., • The area boasts top-rated schools and healthcare facilities, ideal for both individuals and families., • Compensation Range: $160,000 to $165,000 annually., • The final compensation rate will be determined based on experience, education, training, location, internal equity, and budget considerations, in accordance with Fair Market Value evaluation. Additionally, some candidates may be eligible for a comprehensive benefits package, depending on the specific role, including but not limited to health insurance coverage and retirement benefits., • Becoming an Interim Leader through BE Smith provides an exceptional opportunity to rapidly make meaningful improvement in healthcare settings. Is the interim leadership lifestyle right for you? Apply now and discover how Interim Leadership could revolutionize your career path., • Joining the B.E. Smith team means you could receive a full benefits package upon accepting roles. This includes health, dental, and vision insurance, life insurance, AD&D, and a flexible spending account, with some benefits varying based on the job's type and duration., • As a B.E. Smith employee, we manage your taxes by handling withholdings and also paying the employer portion of your FICA contributions., • Interim positions come with varying travel requirements. B.E. Smith and the client cover all travel, accommodation, and work-related expenses. You receive bi-weekly trips home at the client's expense, plus a rental car and comfortable lodging for a convenient living experience., • Some roles may require specific licenses. A compact nursing license allows registered nurses to work in any state that is part of the Nurse Licensure Compact without needing separate state licenses. Stay up to date on new legislation, and confirm licensure requirements with the recruiter. Cristina Gadaleta Executive Recruiter #BESRecruitment Facility Location Rich in history, graced with sweeping sandy beaches and natural beauty, yet within easy commute of the bright lights and big action of New York City, Long Island beckons with its rugged coastline, forests, historic sites and charming seaside villages. Job Benefits About the Company At AMN Healthcare, we strive to be recognized as the most trusted, innovative, and influential force in helping healthcare organizations provide quality patient care that continually evolves to make healthcare more human, more effective, and more achievable. Surgery, Operating Room, Surgical Services, Periop, Perioperative, Perioperative Services, Surgical, PreOp, Post Anesthesia Care Unit, PACU, OR*, OR Manager, Periop, Surg, Surge,

Applied Researcher I (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Distinguished Applied Researcher Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: * Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Basic Qualifications: * PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 10 years of industrial NLP research experience * Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Has worked on an LLM (open source or commercial) that is currently available for use * Demonstrated ability to guide the technical direction of a large-scale model training team * Experience working with 500+ node clusters of GPUs Has worked on LLM scaled to 70B parameters and 1T+ tokens * Experience with common training optimization frameworks (deep speed, nemo) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $311,900 - $356,000 for Sr. Distinguished Applied Researcher Cambridge, MA: $343,100 - $391,600 for Sr. Distinguished Applied Researcher McLean, VA: $343,100 - $391,600 for Sr. Distinguished Applied Researcher New York, NY: $374,300 - $427,200 for Sr. Distinguished Applied Researcher San Francisco, CA: $374,300 - $427,200 for Sr. Distinguished Applied Researcher Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher I Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications [choose correct set based on focus of role]: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Francisco, CA: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Diesel Mechanic Full-time Paramus, NJ Compensation: Class A:Up to $30.05 Class B: Up to $27.20 Join Our Team: Seeking a Skilled Fleet Diesel Mechanics! Coach USA is hiring Mechanics for the HudsonLink service! This service currently provides more than 500,000 passenger rides per year between Rockland County and Westchester County. If you're passionate about keeping buses running smoothly and ensuring passenger safety, we want you on board! The Role: Our Diesel Mechanics play a vital role, where gears meet grit, and power meets precision. Armed with an arsenal of tools and a sharp mind with diagnostic prowess, they are the unsung heroes who keep the wheels of progress spinning. Diagnose and Repair: Utilize diagnostic tools to identify issues with mechanical, electrical, and other breakdowns and failures, performing necessary repairs. Diesel Engines: Removal, installation, disassembly, and reconditioning of components of diesel engines. Preventative Maintenance: Conduct routine and preventative maintenance according to manufacturers' specifications to ensure vehicle reliability and longevity. Quality Assurance: Uphold our commitment to excellence by ensuring all repairs and maintenance work meets or exceeds industry standards. Complete test drives to make sure all repaired vehicles run correctly and safely. Detail Oriented: Write detailed inspection reports and repair plans. Maintain electronic maintenance logs. Safety and Cleanliness: Adhere to all workplace safety policies and procedures, while maintaining a clean and safe work environment. Why join with Us? Competitive Experience Based Pay Rewards & Benefits: Enjoy paid holidays, vacation, PTO, a comprehensive benefits package (including medical, dental, vision, short term disability, life insurance, 401K), plus a tool and boot allowance. Wear It Proud: Uniforms provided to get you in the professional spirit. Growth & Development Opportunities: Your career journey is important. We support your growth with training, opportunities to advance and obtain CDL. What Sets You Apart: Experienced Professionals: You have a solid background in diesel mechanics, with specific experience working on Cummins and Detroit engines. ASE Diesel Certification or associate degree in diesel technology is highly regarded but not mandatory. You must be willing to obtain a CDL. Problem Solvers: You are adept at troubleshooting and enjoy the challenge of finding and implementing solutions to mechanical issues. Computer diagnostic skills a plus, but training is provided. Team Players: Ability to work in all weather conditions, including outdoors. Willingness to work weekends and holidays, as needed. Experience Counts: Have the necessary toolkit to carry out maintenance duties independently. Experience in the Motor Coach Industry preferred. Safety Champion: Adhere to and champion safety standards to ensure a secure workplace for everyone. Don't miss this opportunity to shift your career into overdrive with a team that values the hard work and dedication of its diesel mechanics. At Coach USA, you're not just repairing buses; you're ensuring that our community stays connected, efficiently and safely. To learn more about your next big career change! APPLY NOW! Coach USA is an Equal Employment Opportunity employer. In compliance with Federal and State equal employment opportunity laws, qualified applicants are considered for all positions without regard to race, color, religion, national origin, sex (including gender identity, sexual orientation, and pregnancy), age, genetic information, disability, veteran status, or other protected class. ©"lube", "mechanically inclined", "mechanic", "Mechanic apprentice", "auto mechanic", technical", "entry level mechanic"©

CHARTER OPERATORS\nFull-Time\nLocation: Paramus, NJ\nCompensation: Up to $350.00 Per day for single day and away charters\n Coach USA has a new and exciting career opportunity for full time Charter Bus Drivers in our Paramus, NJ location. Rockland Coaches, Inc., a Coach USA company is actively hiring Full time Charter bus drivers to join our growing team! About Us: As a transportation company, we recognize our job is all about the journey. We enjoy being able to participate in the trip with our passengers especially since our drivers are essential to our exceptional reputation and success. Whether it’s the individual passenger going to work or a group of passengers going on an adventure of a lifetime, we want drivers who will play a significant role in people’s lives. \n\n • Pickup and drop off clients at their designated location(s).\n, • Occasional long-distance driving and overnight stays.\n, • Occasionally help with luggage, if asked.\n, • Competitive Wages – up to $350.00 per day\n, • Paid training while completing the Coach USA training - program.\n, • Daily and away assignments available\n, • Insurance; health, dental, vision\n, • Retirement Plan\n \n\n • Have a CDL with passenger and air brake endorsements.\n, • 21 year or older.\n, • High school diploma/GED preferred.\n, • No history of DUI/Impaired Driving Violations in the last 7 years.\n, • Pass Pre-employment essential function test.\n, • Pass Pre-employment drug test.\n, • Meet DOT physical qualifications.\n Coach USA is an Equal Employment Opportunity employer. In compliance with Federal and State equal employment opportunity laws, qualified applicants are considered for all positions without regard to race, color, religion, national origin, sex (including gender identity, sexual orientation, and pregnancy), age, genetic information, disability, veteran status, or other protected class. © "Driver", "CDL", "Luxury", "Motorcoach", "Motor Coach Operator", "Charter", "Bus Driver", 'Motor Coach Bus Operator", "Shuttle Driver", "School Bus Driver", "Transit Driver"

Director of HR, Retail Location: New York City (On-Site) Department: Human Resources Reports To: Chief Human Resources Officer About G-III Apparel Group: G-III excels at bringing excitement and confidence to customers through the fashion we create. We are global experts in design, sourcing, manufacturing, distribution and marketing, which enables us to fuel the growth of a substantial portfolio of brands. With more than 30 licensed and owned brands, including some of the most sought-after names in global fashion, our success is driven by our team’s entrepreneurial spirit and our deep relationships across the industry. Position Summary: We are seeking a seasoned Director of HR, Retail to lead HR strategy, employee relations, and compliance across our multi-state retail store fleet. Reporting to the Chief Human Resources Officer, this role is a key advisor to retail field leadership and will ensure consistent, legally sound HR practices that support a high-performance, customer-focused culture. The ideal candidate is a strategic and experienced HR leader with deep expertise in retail operations, employment law, and multi-state compliance. Key Responsibilities: • Lead employee relations strategy and oversee complex workplace investigations, • Ensure compliance with federal, state, and local employment laws across multiple jurisdictions, • Partner closely with Legal on risk mitigation, litigation support, and sensitive matters, • Coach and advise retail leadership on performance management, policy interpretation, and documentation standards, • Deliver compliance and management training to support operational excellence across stores, • Develop and implement HR strategies that align with retail business objectives, • Support workforce planning and organizational development initiatives within the retail division, • Drive a culture of accountability, inclusion, and high performance across the store fleet Who You Are: • A team player who collaborates easily and supports others, • A strategic thinker who sees the big picture and plans ahead, • A strong communicator who can clearly express ideas and listen actively, • A self-starter who takes initiative and drives work forward, • A trusted advisor who operates with integrity and sound judgment, • A resilient leader who thrives in a fast-paced, multi-unit retail environment Qualifications: • Bachelor’s degree in Human Resources, Business Administration, or related field (or equivalent experience), • 10+ years of progressive HR experience, including significant multi-unit retail experience, • Strong expertise in employment law, investigations, and compliance, • Experience partnering with senior leadership and legal teams, • Proven ability to influence and operate effectively in a fast-paced retail environment, • Strong proficiency in Microsoft Office Suite (Excel, PowerPoint, Outlook), • Excellent organizational and time management skills, • Strong interpersonal and written/verbal communication skills What We Offer: • Competitive salary, • Comprehensive benefits including medical, dental, vision, and 401(k), • PTO and company holidays, • Employee discounts The pay range for this position is: $150,000 – $175,000 per year. Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law. G-III Apparel Group is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. About G-III Apparel Group, Ltd. | ___ G-III owns and licenses over 30 global fashion brands. G-III’s owned brands include DKNY, Karl Lagerfeld Paris, Donna Karan, Vilebrequin, Sonia Rykiel, G.H. Bass, Bass Outdoor, Andrew Marc, Eliza J., GIII Sports and more. G-III has fashion licenses under the Calvin Klein, Tommy Hilfiger, Cole Haan, Dockers, Guess?, Kenneth Cole, Levi’s, Vince Camuto, Margaritaville and more. G-III also operates retail stores for the DKNY, Karl Lagerfeld Paris and Donna Karan brands.

About Wakefern Wakefern Food Corp. is the largest retailer-owned cooperative in the United States and supports its co-operative members' retail operations, trading under the ShopRite®, Price Rite®, The Fresh Grocer®, Dearborn Markets®, and Gourmet Garage® banners. Employing an innovative approach to wholesale business services, Wakefern focuses on helping the independent retailer compete in a big business world. Providing the tools entrepreneurs need to stay a step ahead of the competition, Wakefern’s co-operative members benefit from the company’s extensive portfolio of services, including innovative technology, private label development, and best-in-class procurement practices. About You The Category Manager supports the development and execution of category strategies that drive sales growth, profitability, and customer value for the cooperative. This role collaborates cross‑functionally with buying, marketing, merchandising, and analytics partners to deliver customer‑focused insights, optimize assortments, and support both short‑ and long‑term category plans across a broad portfolio of products. The position is responsible for analyzing national and regional customer data, developing data‑driven recommendations, and supporting category initiatives related to assortment, pricing, promotions, forecasting, and ad planning. Success in this role requires strong analytical capability, working knowledge of meat commodities and retail operations, and the ability to translate insights into actionable business strategies that support the cooperative. Core Functions The core functions of this position include, but are not limited to, the following: • Effectively navigates the organization and collaborates cross‑functionally to achieve category objectives, • Provides Wakefern Members with customer‑focused insights and guidance related to product performance and category strategy, • Develops and executes short and long‑term category plans and strategies, • Provides direction and guidance to analyst resources as needed to support category initiatives, • Leads category management projects to optimize assortments, merchandising, and overall category performance, • Manages a broad portfolio of products, developing tailored strategies to drive results across categories, • Builds and maintains strong working relationships with buying, marketing, and merchandising partners, • Actively drives sales growth and maximizes profitability for the cooperative, • Analyzes national and regional customer data to develop recommendations that support business growth, • Champion continuous improvement by identifying process efficiencies, leveraging technology and AI‑enabled insights, and adapting to evolving market trends Knowledge and Skill Requirements • Bachelor’s degree in Business or related field, or currently enrolled with a minimum of 60 college credits completed, • Working knowledge of procurement and product management across meat commodities, including beef, poultry, pork, lamb, veal, smoked, and frozen meats, • Strong analytical skills with a high aptitude for detail‑ and data‑driven work; advanced computer proficiency required, • Prior inventory management and/or warehouse distribution experience strongly preferred, • 1–3 years of supermarket or related retail experience, • Excellent written and verbal communication skills, • Demonstrated leadership capability and strong customer service orientation, • Proven ability to analyze key data and draw accurate conclusions to support category and business decisions, • Solid understanding of retail insights and performance drivers, • Experience leading or supporting category strategies, including assortment/ranging, pricing, and promotional planning across customer channels, • Meat cutting experience preferred, • Experience with ad planning, forecasting, and promotional execution, • Strong negotiation skills Working Conditions & Physical Demands • Ability to sit/stand in front of a computer for long periods of time, • Ability to participate in retail store visits, • Ability to travel as required, • Ability to work a four day in office hybrid schedule as established by the organization Competencies • Communicate Effectively: Share thoughts, ideas and information in an organized, clear and precise and persuasive manner (written and oral communication)., • Drive or Results: Understands how the role impacts the organization’s strategic objectives., • Embrace Change: Adapts to new environment, jobs, technologies and processes., • Develop You: Identifies opportunities for career development., • Build Relationships: Works as part of a team to achieve company goals., • Stay Competitive: Shows passion and enthusiasm for their work. Compensation and Benefits The salary range for this position is $80,000 to $120,000 annually. Placement in the range depends on several factors, including experience, skills, education, geography, and budget considerations. Wakefern is proud to offer a comprehensive benefits package designed to support the health, well-being, and professional development of our Associates. Benefits include medical, dental, and vision coverage, life and disability insurance, a 401(k) retirement plan with company match, paid time off, holidays, and parental leave. Associates also enjoy access to wellness and family support programs, fitness reimbursement, educational and training opportunities through our corporate university, and a collaborative, team-oriented work environment. Many of these benefits are fully or partially funded by the company, with some subject to eligibility requirements. About The Work This job description is intended to set forth the general nature and essential duties and responsibilities of the work performed by associates for this position.It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of associates to do this job. Associates may be assigned additional responsibilities as necessary. The Company reserves the right to revise this job description at any time and to require associates to perform other tasks such as circumstances or conditions of its business, competitive considerations or the work environment changes.This document describes the position currently available and is not an employment contract. To perform this job successfully, an individual must be able to perform each essential function satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. If requested, reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The position covered by this Job Description is expressly declared to be “at will,” meaning Wakefern has the right to terminate the incumbent’s employment at any time, with or without cause. Any written or oral promises or representations to the contrary are expressly disavowed and should not be relied upon by any associate. Any change to this “at will” employment status must be in writing and signed by the Vice President of Human Resource.

MANGO is a multinational fashion company that designs, manufactures and markets clothing and accessories. At Mango, we inspire and unite through our passion for style and culture. We are in 118 countries and our online presence extends to more than 80 countries. Our team is made up of people of 112 nationalities. In our team, we are proactive and dynamic, with communication skills and we are always open to new challenges. We are a young and multicultural team, we love the good vibes we have and we work together to achieve results. We are informed of trends and current events in the retail world. Job Details: For our MANGO store located at the Hudson Yards Mall in New York, New York we are currently recruiting for a Floor Supervisor to join our team. What would your day to day look like? Reporting to the Store Manager, you will be responsible for the general running of the floor. You will ensure that sales targets are achieved, and customer service is at its highest level. To support the work of the Visual Merchandiser and display the product in a commercial and aesthetic manner in accordance with company standards, in order to maximize sales. Key Responsibilities: · To ensure and provide an excellent level of customer service in the store · To ensure the team possesses good product knowledge and is aware of the key performance indicators · To be familiar with and offer services according to the needs of customers in order to maximize sales · To organize and distribute tasks and positions to each member of the team · To ensure that sales targets are implemented, achieved and exceeded in store · To maintain the image of the store in order to make it attractive and commercial · To know and apply the visual merchandising standards of the brand and of the season. · To participate in updating the Merchandising and Rotation schedules We are looking for a self-motivated team player who is a vibrant outgoing person and can demonstrate excellent communication skills, a proactive attitude and enthusiasm to represent the brand through the delivery of excellent customer service in order to achieve and exceed sales targets. Previous experience of working in fashion retail is desirable. Requirements: · Prior experience in retail sales is preferred · Must be a sales-driven, goal-oriented individual · Passion for customer service, styling, and product · Flexible availability, including weekends and holidays · Must have a positive, high-energy, friendly, outgoing, and engaging personality. · Must be willing to take the first step to initiate contact with the customers and identify their shopping needs. · Strong time management and communication skills · Ability to manage multiple and competing work priorities, demands, and changes What makes us special? • As a member of the Mango team, you’ll get a 40% discount on all our lines, so that you’ll always be wearing the latest!, • Insurance Benefit: You only pay a % of the value!, • Pet Insurance – Partnering with MetLife, covering up to 90% of veterinary expenses., • 401(K) Pension Plan, • Holidays + Wellness Days, • Vacation Days, • Commuter Benefits, • Bonus and/or Commission paid monthly, • At Mango, we invest in your personal and professional development. Access a wide range of training courses, personalized mentoring, continuous development programs and internal promotion opportunities that will drive you toward success., • Think big! Mango offers you international opportunities in over 120 markets for you to broaden your horizons and grow with us globally. The pay range for this position at commencement of employment is expected to be between $19.50 - $23.50/hourly; however, base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. The Company reserves the right to modify this pay range at any time. You got it? We like you!

About Wakefern Wakefern Food Corp. is the largest retailer-owned cooperative in the United States and supports its co-operative Members' retail operations, trading under the ShopRite®, Price Rite®, The Fresh Grocer®, Dearborn Markets®, Fairway Markets®, Gourmet Garage®, Di Bruno Bros.®, Morton Williams® banners. Employing an innovative approach to wholesale business services, Wakefern focuses on helping the independent retailer compete in a big business world. Providing the tools entrepreneurs need to stay ahead of the competition, Wakefern’s co-operative Members benefit from the company’s extensive portfolio of services, including innovative technology, private label development, and best-in-class procurement practices. About You Summary As a member of the Transportation Safety Department, you will be responsible for monitoring and managing compliance, safety, accountability (CSA) performance and ensuring all corrective actions are taken as a result of roadside inspections. Overseeing accident investigations, along with documenting investigation findings. Initiating and maintaining all U.S. Department of Transportation (DOT) mandated paperwork for the fleet. Driver hiring and maintaining qualification files in accordance with FMCSA guidelines. Conducting driver safety meetings. Interacting with Dispatch, Fleet Maintenance and Risk Management. Monitoring hours of service (HOS) compliance and provide refresher training as needed. Essential Functions The core functions of this position include, but are not limited to, the following: • Initiate and maintain all U.S. Department of Transportation mandated paperwork to include; driver qualification file, annual review, DOT physical, Commercial Driver License., • Monitor and manage driver safety performance such as HOS compliance, DriveCam review and coaching, CSA compliance and ensure all corrective action is taken as a result of roadside inspections., • Accident investigation, documentation and participate in determining the ruling of preventable or non-preventable, post-accident counselling, refresher training., • Driver retention and new hire. Verify qualification in accordance with our driver hiring guidelines. Initiate and process all new hire paperwork, to include the Department of Transportation’s PSP (Pre-Employment Screening Program), Clearing House validation and maintain driver files., • Ensure regulatory compliance by actively monitoring driver's license status, medical certificates and ensure DOT random drug testing quota is met., • Ensure all equipment meets regulatory requirements (registration, annual inspection, insurance and internal record keeping)., • Interact with dispatch personnel to ensure drivers are always in compliance with all regulations., • Interact with Fleet Maintenance regarding vehicle inspections, equipment compliance, and damages., • Interact with stores regarding any safety issues involving our drivers, equipment, or store property. Remedy such issues., • Research motorist complaints, interact with the motorist to provide a timely response, present and confront the driver with the complaint., • Research and interact with Fleet Maintenance and Accounting regarding damage to our equipment caused by third party motor carriers or vendors. Qualifications • Bachelor’s degree in business management, economics, finance or marketing. Certifications in Supply Chain Management, OSHA, Safety and Compliance; a plus., • Minimum of 5 to 7 years of supervisory experience in Transportation Safety & Compliance, • Working knowledge of FMCSA Rules and Regulations, CSA and HOS, • Working knowledge of Accident Investigation & Reconstruction, • CSP certification preferred, • Substance Abuse Training Certification, • Detail oriented multi-tasker with a demonstrated ability to meet deadlines and transportation compliance regulations., • Advanced personal computer skills including Word, Excel, Power Point, and Outlook., • Effective communication skills to include both verbal and written communication. Ability to present to varied audiences, such as executive leadership or Members. Shares information and knowledge in support of the team and organization’s success., • Good organizational and time management skills. Working Conditions & Physical Demands • Ability to balance prolonged periods of sitting at a desk and standing at a counter while working on a computer, • Ability to move efficiently between inbound and outbound work stations, • Ability to travel to various transportation terminal locations for site visits, • Ability to do yard walks and perform hands on equipment inspections, • Think Strategically: Create a compelling vision, develop a strategy and empower others to achieve it, • Influence Others: The ability to effectively collaborate, inspire, persuade and align others, • Drive Change: Create the vision and drive the momentum for change, • Talent Planning: Build organizational and associate capability to achieve business goals, • Take Accountability: Drive a culture of ownership throughout the organization, • Inclusive Leadership: Role model inclusive leadership to leverage diversity Core Competencies • Communicate Effectively: Communicates thoughts and ideas in a well-organized manner, encouraging two-way communication., • Build Relationships: Creates cross functional partnerships through the development and maintenance of constructive and cooperative relationships., • Stay Competitive: Demonstrates a mindset of continuous improvement while exhibiting passion and enthusiasm for their work., • Embrace Change: Looks for new ways of working by supporting advancements in processes and technology., • Develop You: Identifies and capitalizes on opportunities for personal and professional career growth., • Drive for Results: Supports divisional and strategic objectives through achievement of work goals. Company Perks • Vibrant Food Centric Culture, • Comprehensive medical, dental and vision package, • Competitive Salary and Paid Time Off, • Fitness Reimbursement and Well-Being Program, • Corporate Training and Development University, • Collaborative team environment, • Paid Parental Leave, • 401K, • Matching Gifts and Community Volunteer Involvement Compensation and Benefits: The salary range for this position is $69,004 to $90,324. Placement in the range depends on several factors, including experience, skills, education, geography, and budget considerations. Wakefern is proud to offer a comprehensive benefits package designed to support the health, well-being, and professional development of our Associates. Benefits include medical, dental, and vision coverage, life and disability insurance, a 401(k)-retirement plan with company match & annual company contribution, paid time off, holidays, and parental leave. Associates also enjoy access to wellness and family support programs, fitness reimbursement, educational and training opportunities through our corporate university, and a collaborative, team-oriented work environment. Many of these benefits are fully or partially funded by the company, with some subject to eligibility requirements.

At Theory, we create clothes that matter, that empower and improve the way we live through exceptional fit, fabric, and style. In 1997, Theory was founded in New York on the simple idea that stretch fabrics in tailored clothing could change how we dress and live. Two decades later, we continue to perfect our offering of elevated wardrobe essentials for the ambitious, urban man and woman. From sourcing materials from the best mills in the world, to the innovation and craftsmanship at our atelier in New York’s Meatpacking District, the integrity of our process is just as important as our final product. In 2004, Theory was acquired by Fast Retailing, spurring international expansion of the brand. Operating 440 stores worldwide, today Theory is a New York brand with a global mindset. Our customers dream big, achieve goals, and aim for perfection. So do we, and so do our clothes. The Responsibilities A Key Holder works within the store management team to help achieve store sales goals and maximize profitability. Through effective management in partnership with Store Manager, the Key Holder works to create a store experience for our clients that results in sales growth. As a key holder, you will be responsible for continuously improving and developing management skills, taking ownership of the responsibilities assigned by the Store Manager, and acting as a role model to the sales team. Business Leader • Meet personal and store sales and KPI goals, • Demonstrate excellent knowledge of the product to support the brand goals, • Develop sales techniques that are relevant to the market, • Establish and maintain client-base, • Leverage company tools, incentives & strategies to support meeting sales goals, • Demonstrate strong business acumen by leverage KPI’s to support business-driving strategies People Leader • Ensure effective communication between store manager & other team members, • Identify ways to keep the team motivated and engaged, • Present new & innovative ideas to support meeting business goals, • Coach team on sales floor providing relevant and consistent feedback to improve performance Operations Leader: • Ensure all functions of the store are maintained to support a superior shopping-experiences, • Assist in all areas of stock, shipping, receiving protocols/policies, procedures and all related processes inclusive of paperwork, • Collaborate with store managers in areas of risk management, physical security, store cash control and inventory control., • Identify product concerns and communicate inventory needs to support the business goals, • Collaborate with cross-functional business partners to support inventory goals Customer Focus: • Ensure the highest level of customer service to each and all individuals in the store, • Build meaningful relationships with clients through strong-interpersonal skills, • Collaborate with all team members to support a superior shopping experience, • Be present on and off the floor as a Theory Brand Ambassador The Essentials • 3-4 years’ prior work experience in a client-centric, sales environment, • Dynamic interpersonal and communication skills, both verbal and written, • Independent work ethic, time management skills, • Computer skills to operate point of sale system, experiences with teamwork is a plus Salary: $18/hr- $22/hr * *The offered salary or salary range is based on several factors, including, but not limited to, overall experience, relevant experience, education level, certifications, applicable skills and expertise, and location of the position. As an Equal Opportunity Employer, Theory LLC does not discriminate against applicants or employees because of race, color, creed, religion, sex, national origin, veteran status, disability, age, citizenship, marital or domestic/civil partnership status, sexual orientation, gender identity or expression or because of any other status or condition protected by applicable federal, state, or local law. Ensure your Theory job offer is legitimate and don’t fall victim to fraud. Theory never seeks payment from job applicants. Feel free to ask your recruiter for a phone call or other type of communication for an interview and ensure your communication is coming from a Theory or sister company email address. For added security, where possible, apply through our direct job posting.